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» Integrating Machine Learning in Parallel Heuristic Search
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LION
2007
Springer
192views Optimization» more  LION 2007»
15 years 11 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
EMNLP
2011
14 years 4 months ago
Heuristic Search for Non-Bottom-Up Tree Structure Prediction
State of the art Tree Structures Prediction techniques rely on bottom-up decoding. These approaches allow the use of context-free features and bottom-up features. We discuss the l...
Andrea Gesmundo, James Henderson
139
Voted
JDWM
2007
122views more  JDWM 2007»
15 years 4 months ago
A Hyper-Heuristic for Descriptive Rule Induction
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Tho Hoan Pham, Tu Bao Ho
ICML
2007
IEEE
16 years 5 months ago
Best of both: a hybridized centroid-medoid clustering heuristic
Although each iteration of the popular kMeans clustering heuristic scales well to larger problem sizes, it often requires an unacceptably-high number of iterations to converge to ...
Nizar Grira, Michael E. Houle
HEURISTICS
2002
99views more  HEURISTICS 2002»
15 years 4 months ago
Parallelizing Tabu Search on a Cluster of Heterogeneous Workstations
In this paper, we present the parallelization of tabu search on a network of workstations using PVM. Two parallelization strategies are integrated: functional decomposition strate...
Ahmad A. Al-Yamani, Sadiq M. Sait, Habib Youssef, ...